A study of SIQR model with Holling type–II incidence rate
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Abstract
In this study, we propose an SIQR epidemic model with a Holling type-II incidence rate. In this model, the
total population N is divided into five compartments; namely susceptible individual class (S), infective individual
class (I), quarantine from susceptible individual class (Q1), quarantine from infective individual class (Q2), and
recovered individual class (R). The basic reproduction number (R0) of the model is found by the next generation
method and then disease-free (DF) and endemic equilibrium points of the system are found and their existence
conditions are presented. This study concludes that if the basic reproduction number R0 is less than one, the
disease-free equilibrium is globally asymptotically stable and if the basic reproduction number R0 is greater
than one, then the endemic equilibrium exists and globally. In this study, we also discuss the behavior of the
disease-free equilibrium points by using manifold theory when the basic reproduction number R0 is equal to one.
This study is very helpful in those pandemic diseases wherein the quarantine process of an infected individual is
one of the most effective solutions to get recover from the disease and also to control the spreading of disease
from an infected individual to uninfected individuals. The numerical simulation is given, and to analyze the found
results, at the last conclusion is also given.
Keywords:
SIQR epidemic model, Holling type-II incidence rate, basic reproductive number, Routh-Herwitz criterion, second additive compound matrix, Lyapunov function, Stability.Mathematics Subject Classification:
Mathematics- Pages: 305-311
- Date Published: 01-01-2021
- Vol. 9 No. 01 (2021): Malaya Journal of Matematik (MJM)
C. Castillo-Chavez, B. Song, Dynamical models of tuberculosis and their applications, Math. Biosci. Eng., $1(2004), 361-404$.
O. Diekmann, J.A.P. Heesterbeek and J.A.J. Metz, On the definition and the computation of the basic reproduction ratio $R_0$ in models for infectious diseases in heterogeneous populations, Journal of Mathematical Biology, $28(4)(1990), 365-382$.
H.W. Hethcote, The mathematics of infectious disease, SIAM Rev., 42(2000), 599-653.
T.K. Kar and A. Batabyal, Modeling, and analysis of an epidemic model with non-monotonic incidence rate under treatment, Journal of mathematics research, 2(1) (2010), 103-115.
J. Mena-Lorca and H.W. Hethcote, Dynamic models of infectious diseases as a regulator of population sizes, $J$. Math. Biol., 30(1992), 693-716.
S. Sastry, Analysis, Stability and Control, Springer, New York (1999).
H. Shu, D. Fan and J. Wei, Global Stability of multigroup SEIR epidemic models with distributed delays and nonlinear transmission, Nonlinear Analysis: Real World Applications, 13(2012), 1581-1592.
P. Van den Driessche and J. Watmough, Reproduction numbers and subthreshold endemic equilibria for compartmental models of disease transmission, Mathematical biosciences, 180, (2002), 29-48.
W. Wang and S. Ruan, Bifurcations in an epidemic model with a constant removal rate of the infective, Journal of mathematical analysis and application, 219(2) (2004), $775-793$.
N. Yi, Q. Zhang, K. Mao, D. Yang and Q. Li, Analysis and control of an SEIR epidemic system with nonlinear transmission rate, Mathematical and computer modeling, $50,(2009), 1498-1513$.
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